In ytnef 1.9.2, an allocation failure was found in the function TNEFFillMapi in ytnef.c, which allows attackers to cause a denial of service via a crafted file.
GNU LibreDWG 0.9.3.2564 has an attempted excessive memory allocation in read_sections_map in decode_r2007.c.
OctoRPKI tries to load the entire contents of a repository in memory, and in the case of a GZIP bomb, unzip it in memory, making it possible to create a repository that makes OctoRPKI run out of memory (and thus crash).
In TextView of TextView.java, there is a possible app hang due to improper input validation. This could lead to remote denial of service with no additional execution privileges needed. User interaction is needed for exploitation.Product: AndroidVersions: Android-11Android ID: A-140218875
An issue has been found in function XRef::fetch in PDF2JSON 0.70 that allows attackers to cause a Denial of Service due to a stack overflow .
An issue has been found in function vfprintf in PDF2JSON 0.70 that allows attackers to cause a Denial of Service due to a stack overflow.
An uncontrolled memory allocation in DataBufdata(subBox.length-sizeof(box)) function of Exiv2 0.27 allows attackers to cause a denial of service (DOS) via a crafted input.
In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a denial of service by causing an out of memory allocation in the implementation of segment sum. Since code uses the last element of the tensor holding them to determine the dimensionality of output tensor, attackers can use a very large value to trigger a large allocation. The issue is patched in commit 204945b19e44b57906c9344c0d00120eeeae178a and is released in TensorFlow versions 2.2.1, or 2.3.1. A potential workaround would be to add a custom `Verifier` to limit the maximum value in the segment ids tensor. This only handles the case when the segment ids are stored statically in the model, but a similar validation could be done if the segment ids are generated at runtime, between inference steps. However, if the segment ids are generated as outputs of a tensor during inference steps, then there are no possible workaround and users are advised to upgrade to patched code.
The parse_report() function in whoopsie.c in Whoopsie through 0.2.69 mishandles memory allocation failures, which allows an attacker to cause a denial of service via a malformed crash file.
A Stack Overflow vulnerability exists in Binaryen 103 via the printf_common function.